{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from ggplot import *\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NGzfmpz/9aYaGhlZ6u5yBpcz6Bz/4Qa699tokybp16zI4OJif/exn2bBhw4ru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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112420310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (287580225)>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# geom_blank don't do shit\n",
    "ggplot(diamonds, aes(x='price')) + geom_blank()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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m5zFKVDu9PLLzqY4R1U51HiNU1k0Ul4o9l0qzKstl5Z7jrIpzWbnnOKvDcXbs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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1124202d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (288191017)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# no matter what you throw at it\n",
    "# geom_blank don't do shit\n",
    "ggplot(diamonds, aes(x='price')) + \\\n",
    "    geom_blank() + \\\n",
    "    facet_grid(\"cut\", \"clarity\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
